TypeError: 'list' object is not callable

[XingLiuJia]

/home/scw4750/anaconda3/envs/pyt0.4/bin/python /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/trainval_net.py
Called with args:
Namespace(batch_size=1, checkepoch=1, checkpoint=0, checkpoint_interval=10000, checksession=1, class_agnostic=False, cuda='True', dataset='pascal_voc', disp_interval=100, lr=0.001, lr_decay_gamma=0.1, lr_decay_step=5, lscale=False, mGPUs='2', max_epochs=20, net='res101', num_workers=0, optimizer='sgd', resume=False, save_dir='/liujiajia/models', session=1, start_epoch=1, use_tfboard=False)
Using config:
{'ANCHOR_RATIOS': [0.5, 1, 2],
'ANCHOR_SCALES': [8, 16, 32],
'CROP_RESIZE_WITH_MAX_POOL': False,
'CUDA': False,
'DATA_DIR': '/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data',
'DEDUP_BOXES': 0.0625,
'EPS': 1e-14,
'EXP_DIR': 'res101',
'FEAT_STRIDE': [16],
'FPN_ANCHOR_SCALES': [32, 64, 128, 256, 512],
'FPN_ANCHOR_STRIDE': 1,
'FPN_FEAT_STRIDES': [4, 8, 16, 32, 64],
'GPU_ID': '0,1',
'HAS_MASK': True,
'MATLAB': 'matlab',
'MAX_NUM_GT_BOXES': 20,
'MOBILENET': {'DEPTH_MULTIPLIER': 1.0,
'FIXED_LAYERS': 5,
'REGU_DEPTH': False,
'WEIGHT_DECAY': 4e-05},
'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]),
'POOLING_MODE': 'align',
'POOLING_SIZE': 7,
'RESNET': {'FIXED_BLOCKS': 1, 'MAX_POOL': False},
'RNG_SEED': 3,
'ROOT_DIR': '/media/scw4750/个人文件/liujiajia/fpn.pytorch-master',
'TEST': {'BBOX_REG': True,
'HAS_RPN': True,
'MAX_SIZE': 1000,
'MODE': 'nms',
'NMS': 0.3,
'PROPOSAL_METHOD': 'gt',
'RPN_MIN_SIZE': 16,
'RPN_NMS_THRESH': 0.7,
'RPN_POST_NMS_TOP_N': 300,
'RPN_PRE_NMS_TOP_N': 6000,
'RPN_TOP_N': 5000,
'SCALES': [600],
'SVM': False},
'TRAIN': {'ASPECT_GROUPING': False,
'BATCH_SIZE': 128,
'BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],
'BBOX_NORMALIZE_MEANS': [0.0, 0.0, 0.0, 0.0],
'BBOX_NORMALIZE_STDS': [0.1, 0.1, 0.2, 0.2],
'BBOX_NORMALIZE_TARGETS': True,
'BBOX_NORMALIZE_TARGETS_PRECOMPUTED': True,
'BBOX_REG': True,
'BBOX_THRESH': 0.5,
'BG_THRESH_HI': 0.5,
'BG_THRESH_LO': 0.0,
'BIAS_DECAY': False,
'BN_TRAIN': False,
'DISPLAY': 20,
'DOUBLE_BIAS': False,
'FG_FRACTION': 0.25,
'FG_THRESH': 0.5,
'GAMMA': 0.1,
'HAS_RPN': True,
'IMS_PER_BATCH': 1,
'LEARNING_RATE': 0.001,
'MAX_SIZE': 1000,
'MOMENTUM': 0.9,
'PROPOSAL_METHOD': 'gt',
'RPN_BATCHSIZE': 256,
'RPN_BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],
'RPN_CLOBBER_POSITIVES': False,
'RPN_FG_FRACTION': 0.5,
'RPN_MIN_SIZE': 8,
'RPN_NEGATIVE_OVERLAP': 0.3,
'RPN_NMS_THRESH': 0.7,
'RPN_POSITIVE_OVERLAP': 0.7,
'RPN_POSITIVE_WEIGHT': -1.0,
'RPN_POST_NMS_TOP_N': 2000,
'RPN_PRE_NMS_TOP_N': 12000,
'SCALES': [600],
'SNAPSHOT_ITERS': 5000,
'SNAPSHOT_KEPT': 3,
'SNAPSHOT_PREFIX': 'res101_faster_rcnn',
'STEPSIZE': [30000],
'SUMMARY_INTERVAL': 180,
'TRIM_HEIGHT': 600,
'TRIM_WIDTH': 600,
'TRUNCATED': False,
'USE_ALL_GT': True,
'USE_FLIPPED': True,
'USE_GT': False,
'WEIGHT_DECAY': 0.0001},
'USE_GPU_NMS': True}
voc_2007_trainval gt roidb loaded from /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data/cache/voc_2007_trainval_gt_roidb.pkl
Loaded dataset voc_2007_trainval for training
voc_2007_trainval gt roidb loaded from /media/scw4750/个人文件/liujiajia/fpn.pytorch-master/data/cache/voc_2007_trainval_gt_roidb.pkl
Set proposal method: gt
Appending horizontally-flipped training examples...
Traceback (most recent call last):
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/trainval_net.py", line 219, in
imdb, roidb, ratio_list, ratio_index = combined_roidb(args.imdb_name)
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 116, in combined_roidb
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 116, in
roidbs = [get_roidb(s) for s in imdb_names.split('+')]
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 113, in get_roidb
roidb = get_training_roidb(imdb)
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/roi_data_layer/roidb.py", line 97, in get_training_roidb
imdb.append_flipped_images()
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/datasets/imdb.py", line 118, in append_flipped_images
boxes = self.roidb[i]['boxes'].copy()
File "/media/scw4750/个人文件/liujiajia/fpn.pytorch-master/lib/datasets/imdb.py", line 76, in roidb
self._roidb = self.roidb_handler()
TypeError: 'list' object is not callable

Process finished with exit code 1

How to solve? Thank you very much! My version is Pytorch 0.4 ,Python 3.6